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Clustering analysis and techniques
  • Level Intermediate
  • Duration 3 hours
  • Offered by

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In this 2-hour long project-based course, you will learn how to perform clustering (one of the core pillar of unsupervised learning) and its importance in machine learning, set up PyCaret Clustering module, create, visualize & compare Clustering algorithms all this with just a few lines of code.

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Discover the essentials of clustering analysis in this intermediate, project-based course focused on Data Science and AI. Over 2 hours, you'll master clustering techniques, set up PyCaret, and work with clustering algorithms using minimal code. Taught by Coursera, this course offers a hands-on approach to one of the core pillars of unsupervised learning, available for free. Ideal for data enthusiasts looking to enhance their machine learning skills.